Aider logo
open-sourceUpdated May 2, 2026

Aider: Open source AI pair programming from the terminal.

Aider is an open source command-line coding assistant that edits files in a local Git repository and works with multiple model providers. It has a loyal following because it is simple, transparent, and Git-aware: ask for a change, inspect the diff, commit what works. Aider is a strong fit for developers who want the agentic coding loop without buying into a closed editor. It is less polished than commercial tools and depends heavily on the model you connect, but its small surface area makes it durable and easy to reason about.

Quick facts

Pricing
Free open source tool; model usage is billed by your provider.
Free tier
Yes
Supported languages
Language agnostic, Python, JavaScript, TypeScript, Go, Rust, Java
Platform
Terminal, macOS, Linux, Windows
Open source
Yes
Models used
OpenAI, Anthropic, DeepSeek, Ollama, OpenRouter, Many provider APIs

Aider review

Aider is an open source command-line coding assistant that edits files in a local Git repository and works with multiple model providers. It has a loyal following because it is simple, transparent, and Git-aware: ask for a change, inspect the diff, commit what works. Aider is a strong fit for developers who want the agentic coding loop without buying into a closed editor. It is less polished than commercial tools and depends heavily on the model you connect, but its small surface area makes it durable and easy to reason about.

In practice, Aider is most useful when the team picks a narrow workflow and measures whether the tool improves that job. For terminal-first developers, open source workflows, small to medium code changes, the important question is not whether the demo looks impressive. It is whether the generated code fits your repository, whether the tool makes its changes easy to inspect, and whether a developer can recover quickly when the model misunderstands the task.

Pricing also matters because AI coding usage can grow faster than expected. Free open source tool; model usage is billed by your provider. Check the vendor pricing page before buying because usage limits and model access can change. Teams should test realistic prompts, not only a single autocomplete, and estimate monthly cost for heavy users, occasional reviewers, and nontechnical collaborators separately.

The strongest reason to choose Aider is fit. It supports Terminal, macOS, Linux, Windows and is commonly used with Language agnostic, Python, JavaScript, TypeScript, Go. That makes it a credible option for terminal-first developers, open source workflows, small to medium code changes. The weaker fit is nontechnical app builders, teams wanting polished admin controls, design-heavy web app generation, where a different category of AI coding tool may be more effective.

Best for

  • - Terminal-first developers
  • - Open source workflows
  • - Small to medium code changes

Not great for

  • - Nontechnical app builders
  • - Teams wanting polished admin controls
  • - Design-heavy web app generation

Pros

  • - Open source
  • - Git-aware workflow
  • - Works with many models
  • - Lightweight and scriptable

Cons

  • - CLI learning curve
  • - Provider setup required
  • - No built-in visual editor
  • - UX is simpler than commercial agents

Pricing breakdown

Free open source tool; model usage is billed by your provider. Confirm current limits and usage terms on the official pricing page before adopting it across a team.

DimensionAiderClaude Code
PricingFree open source tool; model usage is billed by your provider.Access through Claude plans or Anthropic API usage.
Free tierYesUnknown
Open sourceYesNo
PlatformsTerminal, macOS, Linux, WindowsTerminal, macOS, Linux, Windows via supported shell environments
LanguagesLanguage agnostic, Python, JavaScript, TypeScript, Go, RustLanguage agnostic, JavaScript, TypeScript, Python, Go, Rust
ModelsOpenAI, Anthropic, DeepSeek, Ollama, OpenRouter, Many provider APIsClaude Sonnet, Claude Opus
Best forTerminal-first developers, Open source workflows, Small to medium code changesExperienced engineers, Repository maintenance, Refactors, Test-driven fixes
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